/*
 * Javlov - a Java toolkit for reinforcement learning with multi-agent support.
 * 
 * Copyright (c) 2009 Matthijs Snel
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package net.javlov.world;

import net.javlov.ActionFactory;
import net.javlov.ContinuousAction;

public class DifferentialWheelsActionFactory implements ActionFactory.Continuous {

	private World.Continuous world;
	
	public DifferentialWheelsActionFactory(World.Continuous w) {
		world = w;
	}
	
	@Override
	public ContinuousAction create() {
		//TODO hardcoded for now
		DifferentialWheelsAction act = new DifferentialWheelsAction(world, 0.8, 5.3, 125 / (2*Math.PI));
		return act; 
	}
}
